

import operator







def      A_ (       _UpperCAmelCase							,      _UpperCAmelCase = False							,      _UpperCAmelCase = None       ):
						SCREAMING_SNAKE_CASE_:					int    						=			operator.lt if reverse else operator.gt
						SCREAMING_SNAKE_CASE_:					Tuple    						=			solution or []

						if not arr:
												return solution

						SCREAMING_SNAKE_CASE_:					Optional[Any]    						=			[arr.pop(0       )]
						for i, item in enumerate(_lowerCamelCase       ):
												if _operator(_lowerCamelCase							,      sublist[-1]       ):
																		sublist.append(_lowerCamelCase       )
																		arr.pop(_lowerCamelCase       )

    #  merging sublist into solution list
						if not solution:
												solution.extend(_lowerCamelCase       )
						else:
												while sublist:
																		SCREAMING_SNAKE_CASE_:					Any    						=			sublist.pop(0       )
																		for i, xx in enumerate(_lowerCamelCase       ):
																								if not _operator(_lowerCamelCase							,      _lowerCamelCase       ):
																														solution.insert(_lowerCamelCase							,      _lowerCamelCase       )
																														break
																		else:
																								solution.append(_lowerCamelCase       )

						strand_sort(_lowerCamelCase							,      _lowerCamelCase							,      _lowerCamelCase       )
						return solution


if __name__ == "__main__":
						assert strand_sort([4, 3, 5, 1, 2]) == [1, 2, 3, 4, 5]
						assert strand_sort([4, 3, 5, 1, 2], reverse=True) == [5, 4, 3, 2, 1]








import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


lowercase    :   List[str]						=			logging.get_logger(__name__)




class 					lowerCamelCase__				(							__lowercase):




	'''simple docstring'''




	def __init__(   self						:Dict	,  *a						:Tuple	,  **a						:List[Any]		)						->					None:
								warnings.warn(
								    "The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
								    " Please use PerceiverImageProcessor instead."	,  a	,  )
								super().__init__(*a	,  **a		)